报告在 CPU 机器上使用 PaddleOCR CPU包, 2小时后遇到内存泄漏问题 #12750

annotated-types==0.5.0
anyio==3.7.1
astor==0.8.1
asttokens==2.4.1
async-timeout==4.0.2
attrdict==2.0.1
Babel==2.14.0
backcall==0.2.0
bce-python-sdk==0.9.6
beautifulsoup4==4.12.3
better-exceptions==0.3.3
blinker==1.7.0
bs4==0.0.2
cachetools==5.3.3
certifi==2023.7.22
cffi==1.16.0
charset-normalizer==3.3.2
click==8.1.6
colorama==0.4.6
colored==1.4.4
coloredlogs==15.0.1
contourpy==1.1.1
cryptography==42.0.5
cssselect==1.2.0
cssutils==2.10.2
cycler==0.12.1
Cython==3.0.10
DBUtils==3.1.0
ddddocr==1.4.11
decorator==5.1.1
et-xmlfile==1.1.0
exceptiongroup==1.1.2
executing==2.0.1
fastapi==0.100.1
feapder==1.9.0
fire==0.6.0
Flask==3.0.3
flask-babel==4.0.0
flatbuffers==24.3.25
fonttools==4.51.0
future==1.0.0
h11==0.14.0
httpcore==1.0.5
httpx==0.27.0
humanfriendly==10.0
idna==3.4
imageio==2.34.0
imgaug==0.4.0
importlib_metadata==7.1.0
importlib_resources==6.4.0
influxdb==5.3.1
ipython==8.12.3
itsdangerous==2.1.2
jedi==0.19.1
Jinja2==3.1.3
jmespath==1.0.1
kiwisolver==1.4.5
lazy_loader==0.4
lmdb==1.4.1
loguru==0.7.2
lxml==4.9.3
MarkupSafe==2.1.5
matplotlib==3.7.5
matplotlib-inline==0.1.6
mpmath==1.3.0
msgpack==1.0.8
networkx==3.1
numpy==1.24.4
onnxruntime==1.17.3
opencv-contrib-python==4.6.0.66
opencv-python==4.6.0.66
opencv-python-headless==4.9.0.80
openpyxl==3.1.2
opt-einsum==3.3.0
packaging==24.0
paddleocr==2.7.3
paddlepaddle==2.6.1
pandas==2.0.3
parsel==1.9.1
parso==0.8.4
pdf2docx==0.5.8
pickleshare==0.7.5
pillow==10.3.0
premailer==3.10.0
prompt-toolkit==3.0.43
protobuf==3.20.2
psutil==5.9.8
pure-eval==0.2.2
pyclipper==1.3.0.post5
pycparser==2.22
pycryptodome==3.18.0
pydantic==2.1.1
pydantic_core==2.4.0
Pygments==2.17.2
PyMuPDF==1.20.2
PyMuPDFb==1.24.1
PyMySQL==1.1.0
pyparsing==3.1.2
pyperclip==1.8.2
pyreadline3==3.4.1
python-dateutil==2.9.0.post0
python-docx==1.1.0
pytz==2024.1
PyWavelets==1.4.1
PyYAML==6.0.1
rapidfuzz==3.8.1
rarfile==4.2
redis==3.5.3
requests==2.31.0
scikit-image==0.21.0
scipy==1.10.1
shapely==2.0.3
six==1.16.0
sniffio==1.3.0
soupsieve==2.5
stack-data==0.6.3
starlette==0.27.0
sympy==1.12
termcolor==2.4.0
terminal-layout==3.0.0
tifffile==2023.7.10
tqdm==4.66.2
traitlets==5.14.2
typing_extensions==4.7.1
tzdata==2024.1
urllib3==2.2.1
uvicorn==0.23.2
visualdl==2.5.3
w3lib==2.1.2
wcwidth==0.2.13
Werkzeug==3.0.2
win32-setctime==1.1.0
zipp==3.18.1

paddle_request_test.py

import loguru
import requests

log = loguru.logger

if __name__ == '__main__':
    session = requests.session()
    for i in range(1000000):
        ret = session.get("https://www.dmoe.cc/random.php")
        img = ret.content
        ret = session.post("http://127.0.0.1/ocr_img", data=img, headers={"Content-Type": "image/png"})
        log.info(f"{ret.status_code},{ret.text}")

paddle_webapi.py

import loguru
import psutil
from fastapi import FastAPI, Request
from paddleocr import PaddleOCR

ocr = PaddleOCR(lang="ch",
                use_angle_cls=True,
                ocr_version="PP-OCRv4",
                show_log=False,
                use_gpu=False)
log = loguru.logger

app = FastAPI()
app.ocr_info = {}


@app.post("/ocr_img")
async def ocr_img(request: Request):
    # 使用await获取请求体数据
    data = await request.body()

    process = psutil.Process()
    memory_info = process.memory_info()
    memory_usage_mb = memory_info.rss / (1024 ** 2)
    print(len(data))
    result = ocr.ocr(data)

    return {
        "memory_usage_mb": memory_usage_mb,
        "ocr_result": result
    }


if __name__ == '__main__':
    import uvicorn

    uvicorn.run(app, host="0.0.0.0", port=80)

附带日志

C:\Users\Administrator\Desktop\demo>python paddle_request_test.py
2024-05-22 14:58:21.026 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":504.7578125,"ocr_result":[null]}
2024-05-22 14:58:22.220 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":642.70703125,"ocr_result":[null]}
2024-05-22 14:58:22.991 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":657.98046875,"ocr_result":[null]}
2024-05-22 14:58:24.642 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":658.50390625,"ocr_result":[[[[[1236.0,576.0],[1266.0,576.0],[1266.0,596.0],[1236.0,596.0]],["y",0.5495076775550842]],[[[1268.0,613.0],[1314.0,604.0],[1322.0,640.0],[1276.0,649.0]],["A",0.8723329901695251]]]]}
2024-05-22 14:58:25.844 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":678.0234375,"ocr_result":[[[[[1494.0,760.0],[1549.0,751.0],[1554.0,781.0],[1499.0,790.0]],["411",0.8159841895103455]],[[[1426.0,799.0],[1611.0,759.0],[1624.0,815.0],[1438.0,855.0]],["irno",0.9828563928604126]],[[[1386.0,884.0],[1627.0,808.0],[1643.0,855.0],[1401.0,931.0]],["Long CirnoACT.2",0.8822042942047119]],[[[1307.0,940.0],[1618.0,930.0],[1621.0,1016.0],[1310.0,1025.0]],["東方水精妙",0.7978222966194153]],[[[1448.0,1014.0],[1614.0,1014.0],[1614.0,1040.0],[1448.0,1040.0]],["Border of Cirno",0.9584144353866577]]]]}
2024-05-22 14:58:27.932 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":672.03515625,"ocr_result":[null]}
2024-05-22 14:58:28.750 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":672.484375,"ocr_result":[null]}
2024-05-22 14:58:29.536 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":668.859375,"ocr_result":[null]}
2024-05-22 14:58:30.998 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":668.859375,"ocr_result":[[[[[51.0,995.0],[327.0,995.0],[327.0,1021.0],[51.0,1021.0]],["Mega Dimension Neptune Vul",0.9434823989868164]],[[[51.0,1015.0],[329.0,1015.0],[329.0,1043.0],[51.0,1043.0]],["Rave:techt_JNew:world",0.8671271204948425]],[[[53.0,1039.0],[201.0,1039.0],[201.0,1059.0],[53.0,1059.0]],["ILLUSTRATION BY SWD3E2",0.9549381136894226]]]]}
2024-05-22 14:58:32.208 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":651.1171875,"ocr_result":[null]}
2024-05-22 14:58:33.136 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":660.765625,"ocr_result":[[[[[686.0,141.0],[696.0,141.0],[696.0,151.0],[686.0,151.0]],["R",0.5445988774299622]],[[[786.0,143.0],[800.0,143.0],[800.0,153.0],[786.0,153.0]],["N",0.6315249800682068]]]]}
2024-05-22 14:58:34.157 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":666.1015625,"ocr_result":[null]}
2024-05-22 14:58:37.835 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":669.734375,"ocr_result":[null]}
2024-05-22 14:58:39.143 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":669.1015625,"ocr_result":[null]}
2024-05-22 14:58:40.103 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":670.6328125,"ocr_result":[null]}
2024-05-22 14:58:40.858 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":669.6015625,"ocr_result":[null]}
2024-05-22 14:58:41.959 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":670.90625,"ocr_result":[[[[[1692.0,51.0],[1927.0,40.0],[1942.0,341.0],[1707.0,352.0]],["十",0.773455023765564]],[[[1224.0,813.0],[1307.0,879.0],[1269.0,927.0],[1186.0,861.0]],["@Menu",0.8485442996025085]]]]}
2024-05-22 14:58:43.186 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":672.65625,"ocr_result":[null]}
2024-05-22 14:58:43.940 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":672.6796875,"ocr_result":[null]}
2024-05-22 14:58:44.821 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":672.6796875,"ocr_result":[[[[[100.0,502.0],[420.0,502.0],[420.0,544.0],[100.0,544.0]],["MAGUS",0.8599918484687805]],[[[526.0,502.0],[912.0,502.0],[912.0,544.0],[526.0,544.0]],["MARISA",0.8566349148750305]]]]}
2024-05-22 14:58:46.015 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":677.3984375,"ocr_result":[null]}
2024-05-22 14:58:47.227 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":692.546875,"ocr_result":[null]}
2024-05-22 14:58:47.996 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":692.6171875,"ocr_result":[null]}
2024-05-22 14:58:49.335 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":692.89453125,"ocr_result":[null]}
2024-05-22 14:58:50.074 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":695.30078125,"ocr_result":[null]}
2024-05-22 14:58:50.891 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":695.30859375,"ocr_result":[[[[[571.0,545.0],[695.0,541.0],[702.0,773.0],[578.0,777.0]],["联夜",0.8528777360916138]]]]}
2024-05-22 14:58:51.806 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":696.85546875,"ocr_result":[null]}
2024-05-22 14:58:52.717 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":695.65625,"ocr_result":[[[[[1564.0,1046.0],[1912.0,1046.0],[1912.0,1079.0],[1564.0,1079.0]],["Kodoku no Gununu 2nd Anniversary",0.9814635515213013]]]]}
2024-05-22 14:58:53.567 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":701.3125,"ocr_result":[null]}
2024-05-22 14:58:54.384 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":712.01171875,"ocr_result":[null]}
2024-05-22 14:58:55.249 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":712.01171875,"ocr_result":[[[[[1423.0,121.0],[1594.0,185.0],[1579.0,225.0],[1408.0,160.0]],["winT",0.8581411838531494]],[[[1300.0,155.0],[1747.0,335.0],[1727.0,384.0],[1280.0,204.0]],["midnighT",0.9284902811050415]]]]}
2024-05-22 14:58:56.129 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":721.2578125,"ocr_result":[[[[[464.0,284.0],[576.0,284.0],[576.0,808.0],[464.0,808.0]],["楽園の巫女",0.7368157505989075]],[[[438.0,872.0],[607.0,867.0],[608.0,909.0],[439.0,914.0]],[" 博麗靈夢",0.8217113018035889]]]]}
2024-05-22 14:58:57.700 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":726.2578125,"ocr_result":[[[[[725.0,370.0],[795.0,376.0],[791.0,424.0],[721.0,418.0]],["1:25",0.8122374415397644]],[[[804.0,375.0],[908.0,375.0],[908.0,447.0],[804.0,447.0]],["非",0.9911578297615051]],[[[1072.0,371.0],[1142.0,371.0],[1142.0,429.0],[1072.0,429.0]],["欧",0.9997809529304504]],[[[722.0,412.0],[789.0,420.0],[786.0,447.0],[719.0,440.0]],["aocao",0.9073384404182434]]]]}
2024-05-22 14:58:58.677 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":731.26953125,"ocr_result":[[[[[1575.0,10.0],[1724.0,14.0],[1723.0,42.0],[1574.0,37.0]],["ESSENTIA",0.9843231439590454]]]]}
2024-05-22 14:58:59.667 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":741.109375,"ocr_result":[null]}
2024-05-22 14:59:00.454 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":741.734375,"ocr_result":[null]}
2024-05-22 14:59:01.256 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":741.75,"ocr_result":[null]}
2024-05-22 14:59:02.288 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":742.81640625,"ocr_result":[null]}
2024-05-22 14:59:03.642 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":742.43359375,"ocr_result":[null]}
2024-05-22 14:59:06.848 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":743.86328125,"ocr_result":[[[[[1282.0,418.0],[1727.0,428.0],[1724.0,561.0],[1279.0,551.0]],["iTewi",0.9869147539138794]],[[[1092.0,568.0],[1726.0,566.0],[1726.0,621.0],[1092.0,623.0]],["Project Shrine Maiden",0.9945383667945862]]]]}
2024-05-22 14:59:07.791 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":751.46484375,"ocr_result":[null]}
2024-05-22 14:59:08.703 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":762.52734375,"ocr_result":[null]}
2024-05-22 14:59:09.875 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":761.63671875,"ocr_result":[null]}
2024-05-22 14:59:10.662 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":762.93359375,"ocr_result":[null]}
2024-05-22 14:59:11.761 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":762.93359375,"ocr_result":[[[[[865.0,108.0],[950.0,103.0],[953.0,141.0],[868.0,146.0]],["Rah",0.9758593440055847]],[[[1063.0,102.0],[1193.0,130.0],[1183.0,179.0],[1053.0,152.0]],["Yukari",0.942385196685791]],[[[1642.0,100.0],[1785.0,110.0],[1782.0,160.0],[1639.0,150.0]],["Sakuya",0.8806416392326355]],[[[115.0,167.0],[236.0,158.0],[239.0,194.0],[118.0,203.0]],["MoMizi",0.9713937640190125]],[[[296.0,170.0],[373.0,175.0],[370.0,213.0],[293.0,208.0]],["AYa",0.8028512001037598]],[[[466.0,239.0],[583.0,247.0],[580.0,289.0],[463.0,281.0]],["Nitori",0.9491279125213623]],[[[669.0,234.0],[765.0,239.0],[763.0,275.0],[667.0,269.0]],["chen",0.9556978940963745]],[[[1564.0,296.0],[1596.0,296.0],[1596.0,322.0],[1564.0,322.0]],["SM",0.9817856550216675]]]]}
2024-05-22 14:59:12.563 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":772.51953125,"ocr_result":[null]}
2024-05-22 14:59:13.793 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":773.71875,"ocr_result":[null]}
2024-05-22 14:59:14.611 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":773.23046875,"ocr_result":[null]}
2024-05-22 14:59:15.916 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":773.4921875,"ocr_result":[[[[[142.0,383.0],[412.0,383.0],[412.0,461.0],[142.0,461.0]],["MDE.LOT",0.6986165046691895]],[[[280.0,445.0],[412.0,445.0],[412.0,472.0],[280.0,472.0]],["K.SYO.D+",0.9609846472740173]]]]}
2024-05-22 14:59:16.702 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":774.32421875,"ocr_result":[null]}
2024-05-22 14:59:17.456 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":774.375,"ocr_result":[null]}
2024-05-22 14:59:18.479 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":775.91015625,"ocr_result":[null]}
2024-05-22 14:59:19.751 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":774.375,"ocr_result":[null]}
2024-05-22 14:59:20.679 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":782.1640625,"ocr_result":[null]}
2024-05-22 14:59:21.889 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":781.00390625,"ocr_result":[null]}
2024-05-22 14:59:22.867 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":794.828125,"ocr_result":[null]}
2024-05-22 14:59:23.632 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":793.6328125,"ocr_result":[null]}
2024-05-22 14:59:24.472 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":793.9609375,"ocr_result":[[[[[84.0,395.0],[204.0,395.0],[204.0,516.0],[84.0,516.0]],["米",0.501356303691864]]]]}
2024-05-22 14:59:25.692 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":795.328125,"ocr_result":[null]}
2024-05-22 14:59:27.837 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":795.8203125,"ocr_result":[null]}
2024-05-22 14:59:31.169 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":795.78125,"ocr_result":[null]}
2024-05-22 14:59:31.955 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":795.78125,"ocr_result":[[[[[459.0,436.0],[822.0,443.0],[821.0,505.0],[458.0,498.0]],["蓬莱山輝夜",0.9341721534729004]]]]}
2024-05-22 14:59:32.914 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":795.78125,"ocr_result":[[[[[0.0,456.0],[167.0,340.0],[212.0,409.0],[32.0,525.0]],["面",0.7165175080299377]],[[[184.0,478.0],[280.0,478.0],[280.0,556.0],[184.0,556.0]],["食",0.6076569557189941]]]]}
2024-05-22 14:59:33.748 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":802.7109375,"ocr_result":[null]}
2024-05-22 14:59:37.079 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":802.75,"ocr_result":[null]}
2024-05-22 14:59:38.309 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":803.08984375,"ocr_result":[[[[[470.0,735.0],[510.0,735.0],[510.0,766.0],[470.0,766.0]],["Vl",0.61213219165802]],[[[574.0,729.0],[616.0,729.0],[616.0,760.0],[574.0,760.0]],["VI",0.787750244140625]]]]}
2024-05-22 14:59:39.739 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":802.83984375,"ocr_result":[[[[[115.0,317.0],[355.0,331.0],[351.0,410.0],[111.0,397.0]],["星少女",0.9933781027793884]],[[[168.0,405.0],[522.0,405.0],[522.0,445.0],[168.0,445.0]],["自の星空",0.8517228960990906]]]]}
2024-05-22 14:59:40.862 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":810.36328125,"ocr_result":[null]}
2024-05-22 14:59:41.853 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":808.9140625,"ocr_result":[[[[[59.0,145.0],[129.0,132.0],[143.0,202.0],[73.0,216.0]],["?",0.7549221515655518]]]]}
2024-05-22 14:59:44.793 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":807.76171875,"ocr_result":[null]}
2024-05-22 14:59:46.694 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":808.80859375,"ocr_result":[null]}
2024-05-22 14:59:47.810 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":808.08984375,"ocr_result":[[[[[258.0,520.0],[284.0,520.0],[284.0,550.0],[258.0,550.0]],["X",0.5197473168373108]],[[[164.0,727.0],[186.0,727.0],[186.0,746.0],[164.0,746.0]],["?",0.5557878613471985]]]]}
2024-05-22 14:59:48.739 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":805.60546875,"ocr_result":[[[[[79.0,305.0],[149.0,305.0],[149.0,373.0],[79.0,373.0]],["☆",0.9260557889938354]],[[[94.0,390.0],[145.0,390.0],[145.0,430.0],[94.0,430.0]],["☆.",0.7681255340576172]]]]}
2024-05-22 14:59:50.123 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":806.38671875,"ocr_result":[[[[[1402.0,468.0],[1575.0,515.0],[1559.0,571.0],[1387.0,524.0]],["mas",0.7786253094673157]]]]}
2024-05-22 14:59:50.987 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":807.65625,"ocr_result":[[[[[1237.0,122.0],[1463.0,58.0],[1481.0,122.0],[1255.0,186.0]],["花大船王",0.7753020524978638]],[[[1779.0,371.0],[1821.0,368.0],[1837.0,580.0],[1795.0,583.0]],["东港湖料明信员",0.5203613042831421]]]]}
2024-05-22 14:59:52.356 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":807.6328125,"ocr_result":[null]}
2024-05-22 14:59:53.635 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":806.484375,"ocr_result":[null]}
2024-05-22 14:59:54.737 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":820.3515625,"ocr_result":[[[[[1620.0,484.0],[1654.0,484.0],[1654.0,520.0],[1620.0,520.0]],["01",0.9558972120285034]],[[[30.0,1042.0],[60.0,1042.0],[60.0,1056.0],[30.0,1056.0]],["DL",0.6610945463180542]],[[[144.0,1038.0],[222.0,1038.0],[222.0,1060.0],[144.0,1060.0]],["P'or",0.6279547214508057]]]]}
2024-05-22 14:59:55.994 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":825.0859375,"ocr_result":[null]}
2024-05-22 14:59:58.418 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":827.484375,"ocr_result":[[[[[506.0,447.0],[546.0,457.0],[538.0,488.0],[498.0,478.0]],["8",0.839457094669342]]]]}
2024-05-22 14:59:59.377 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":829.16015625,"ocr_result":[[[[[51.0,995.0],[327.0,995.0],[327.0,1021.0],[51.0,1021.0]],["Mega Dimension Neptune Vul",0.9434823989868164]],[[[51.0,1015.0],[329.0,1015.0],[329.0,1043.0],[51.0,1043.0]],["Rave:techt_JNew:world",0.8671271204948425]],[[[53.0,1039.0],[201.0,1039.0],[201.0,1059.0],[53.0,1059.0]],["ILLUSTRATION BY SWD3E2",0.9549381136894226]]]]}
2024-05-22 15:00:00.179 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":837.5546875,"ocr_result":[null]}
2024-05-22 15:00:01.141 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":837.5546875,"ocr_result":[[[[[12.0,276.0],[596.0,280.0],[596.0,322.0],[12.0,318.0]],["NOCHE DE LACRANES",0.888216495513916]]]]}
2024-05-22 15:00:02.009 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":847.390625,"ocr_result":[[[[[828.0,886.0],[888.0,855.0],[938.0,952.0],[878.0,983.0]],["W",0.7900868654251099]]]]}
2024-05-22 15:00:03.034 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":850.69921875,"ocr_result":[null]}
2024-05-22 15:00:04.749 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":850.265625,"ocr_result":[null]}
2024-05-22 15:00:08.068 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":849.1953125,"ocr_result":[null]}
2024-05-22 15:00:08.917 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":983.84375,"ocr_result":[null]}
2024-05-22 15:00:09.687 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":984.359375,"ocr_result":[null]}
2024-05-22 15:00:10.458 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":984.5703125,"ocr_result":[null]}
2024-05-22 15:00:11.733 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":984.58203125,"ocr_result":[null]}
2024-05-22 15:00:13.177 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":996.4375,"ocr_result":[[[[[180.0,799.0],[302.0,808.0],[297.0,872.0],[176.0,863.0]],["7",0.5437024831771851]],[[[422.0,822.0],[527.0,822.0],[527.0,851.0],[422.0,851.0]],["Wman",0.6472772359848022]],[[[400.0,861.0],[510.0,867.0],[509.0,896.0],[398.0,891.0]],["6R282",0.5733041167259216]],[[[407.0,917.0],[457.0,917.0],[457.0,934.0],[407.0,934.0]],[".7",0.6020278334617615]],[[[418.0,959.0],[516.0,959.0],[516.0,983.0],[418.0,983.0]],["aonba",0.6327023506164551]],[[[531.0,964.0],[561.0,964.0],[561.0,980.0],[531.0,980.0]],["641.",0.5768705606460571]],[[[510.0,1029.0],[546.0,1029.0],[546.0,1044.0],[510.0,1044.0]],["11",0.5439799427986145]]]]}
2024-05-22 15:00:13.963 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1004.5234375,"ocr_result":[null]}
2024-05-22 15:00:14.768 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1006.12109375,"ocr_result":[[[[[1030.0,675.0],[1128.0,675.0],[1128.0,881.0],[1030.0,881.0]],["料府",0.7384895086288452]]]]}
2024-05-22 15:00:15.841 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1009.52734375,"ocr_result":[[[[[459.0,458.0],[531.0,460.0],[523.0,670.0],[451.0,667.0]],["熟美铃",0.6489436626434326]],[[[841.0,808.0],[1081.0,802.0],[1083.0,855.0],[843.0,862.0]],[" 東方紅魔卿",0.821448802947998]],[[[806.0,858.0],[1114.0,860.0],[1114.0,893.0],[806.0,891.0]],[" the Embodiment of Scarlet Devil.",0.9856358170509338]]]]}
2024-05-22 15:00:16.752 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1021.0390625,"ocr_result":[null]}
2024-05-22 15:00:17.711 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1023.3671875,"ocr_result":[null]}
2024-05-22 15:00:18.482 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1022.11328125,"ocr_result":[null]}
2024-05-22 15:00:19.346 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1022.16015625,"ocr_result":[[[[[1578.0,564.0],[1726.0,650.0],[1700.0,694.0],[1552.0,607.0]],["止未机",0.6392879486083984]]]]}
2024-05-22 15:00:20.637 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1025.87109375,"ocr_result":[null]}
2024-05-22 15:00:24.079 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1024.79296875,"ocr_result":[[[[[416.0,498.0],[518.0,498.0],[518.0,631.0],[416.0,631.0]],["公",0.5944934487342834]],[[[773.0,869.0],[947.0,874.0],[945.0,934.0],[771.0,929.0]],["Alice",0.890947163105011]],[[[1013.0,941.0],[1126.0,945.0],[1125.0,973.0],[1012.0,968.0]],["Kirisame",0.9317994117736816]]]]}
2024-05-22 15:00:24.865 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1029.9609375,"ocr_result":[null]}
2024-05-22 15:00:25.668 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1030.50390625,"ocr_result":[null]}
2024-05-22 15:00:26.906 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1030.50390625,"ocr_result":[null]}
2024-05-22 15:00:27.786 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1033.078125,"ocr_result":[null]}
2024-05-22 15:00:28.950 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1034.80859375,"ocr_result":[[[[[68.0,22.0],[300.0,22.0],[300.0,50.0],[68.0,50.0]],["ORDERAR",0.9964967370033264]],[[[1288.0,14.0],[1782.0,12.0],[1782.0,46.0],[1288.0,48.0]],["IS THE RDER A RABBIT",0.9430536031723022]]]]}
2024-05-22 15:00:30.170 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1043.66015625,"ocr_result":[null]}
2024-05-22 15:00:30.944 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1047.33203125,"ocr_result":[null]}
2024-05-22 15:00:31.950 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1049.15234375,"ocr_result":[null]}
2024-05-22 15:00:32.782 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1047.96484375,"ocr_result":[null]}
2024-05-22 15:00:33.680 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1048.6328125,"ocr_result":[[[[[980.0,252.0],[1078.0,252.0],[1078.0,298.0],[980.0,298.0]],["ROCK",0.9676804542541504]]]]}
2024-05-22 15:00:38.429 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1049.30078125,"ocr_result":[null]}
2024-05-22 15:00:39.732 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1049.8203125,"ocr_result":[null]}
2024-05-22 15:00:40.722 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1050.8203125,"ocr_result":[null]}
2024-05-22 15:00:41.967 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1049.8203125,"ocr_result":[null]}
2024-05-22 15:00:43.351 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1059.83203125,"ocr_result":[null]}
2024-05-22 15:00:44.136 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1058.484375,"ocr_result":[null]}
2024-05-22 15:00:45.081 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1058.48046875,"ocr_result":[null]}
2024-05-22 15:00:46.402 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1058.48828125,"ocr_result":[null]}
2024-05-22 15:00:47.204 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1058.52734375,"ocr_result":[null]}
2024-05-22 15:00:48.186 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1058.52734375,"ocr_result":[null]}
2024-05-22 15:00:49.225 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1060.86328125,"ocr_result":[null]}
2024-05-22 15:00:49.998 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1060.8125,"ocr_result":[null]}
2024-05-22 15:00:50.847 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1061.31640625,"ocr_result":[[[[[238.0,276.0],[626.0,276.0],[626.0,576.0],[238.0,576.0]],["M",0.5024936199188232]]]]}
2024-05-22 15:00:51.664 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1062.5234375,"ocr_result":[null]}
2024-05-22 15:00:52.437 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1062.52734375,"ocr_result":[null]}
2024-05-22 15:00:53.569 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1063.66796875,"ocr_result":[[[[[1820.0,0.0],[1917.0,3.0],[1914.0,46.0],[1817.0,41.0]],["CRE",0.9959327578544617]],[[[1045.0,66.0],[1144.0,57.0],[1147.0,85.0],[1048.0,94.0]],["00000",0.7149039506912231]],[[[971.0,419.0],[1040.0,430.0],[1035.0,462.0],[966.0,451.0]],["1日限定",0.8982111811637878]],[[[992.0,451.0],[1068.0,467.0],[1060.0,504.0],[984.0,488.0]],["30食！！",0.8545621037483215]]]]}
2024-05-22 15:00:54.402 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1064.46875,"ocr_result":[null]}
2024-05-22 15:00:55.249 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1074.12890625,"ocr_result":[null]}
2024-05-22 15:00:56.051 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1072.82421875,"ocr_result":[null]}
2024-05-22 15:00:56.853 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1075.3046875,"ocr_result":[null]}
2024-05-22 15:00:57.827 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1075.75390625,"ocr_result":[[[[[1423.0,121.0],[1594.0,185.0],[1579.0,225.0],[1408.0,160.0]],["winT",0.8581411838531494]],[[[1300.0,155.0],[1747.0,335.0],[1727.0,384.0],[1280.0,204.0]],["midnighT",0.9284902811050415]]]]}
2024-05-22 15:00:59.106 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1072.0078125,"ocr_result":[[[[[180.0,799.0],[302.0,808.0],[297.0,872.0],[176.0,863.0]],["7",0.5437024831771851]],[[[422.0,822.0],[527.0,822.0],[527.0,851.0],[422.0,851.0]],["Wman",0.6472772359848022]],[[[400.0,861.0],[510.0,867.0],[509.0,896.0],[398.0,891.0]],["6R282",0.5733041167259216]],[[[407.0,917.0],[457.0,917.0],[457.0,934.0],[407.0,934.0]],[".7",0.6020278334617615]],[[[418.0,959.0],[516.0,959.0],[516.0,983.0],[418.0,983.0]],["aonba",0.6327023506164551]],[[[531.0,964.0],[561.0,964.0],[561.0,980.0],[531.0,980.0]],["641.",0.5768705606460571]],[[[510.0,1029.0],[546.0,1029.0],[546.0,1044.0],[510.0,1044.0]],["11",0.5439799427986145]]]]}
2024-05-22 15:01:00.127 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1074.81640625,"ocr_result":[[[[[125.0,212.0],[197.0,210.0],[205.0,419.0],[133.0,422.0]],["ue",0.5999439358711243]],[[[48.0,687.0],[502.0,691.0],[502.0,747.0],[48.0,742.0]],["Azure&Sands",0.9930488467216492]],[[[126.0,744.0],[500.0,744.0],[500.0,792.0],[126.0,792.0]],["八雲紫の多世界解积",0.964676558971405]],[[[42.0,784.0],[276.0,786.0],[276.0,808.0],[42.0,806.0]],["TohoProjectArrange alubm.",0.9830833673477173]],[[[284.0,790.0],[496.0,790.0],[496.0,824.0],[284.0,824.0]],["80.00.9000",0.625348687171936]]]]}
2024-05-22 15:01:01.182 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1089.58203125,"ocr_result":[[[[[725.0,370.0],[795.0,376.0],[791.0,424.0],[721.0,418.0]],["1:25",0.8122374415397644]],[[[804.0,375.0],[908.0,375.0],[908.0,447.0],[804.0,447.0]],["非",0.9911578297615051]],[[[1072.0,371.0],[1142.0,371.0],[1142.0,429.0],[1072.0,429.0]],["欧",0.9997809529304504]],[[[722.0,412.0],[789.0,420.0],[786.0,447.0],[719.0,440.0]],["aocao",0.9073384404182434]]]]}
2024-05-22 15:01:01.952 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1097.8046875,"ocr_result":[null]}
2024-05-22 15:01:02.854 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1098.3046875,"ocr_result":[[[[[236.0,129.0],[404.0,129.0],[404.0,312.0],[236.0,312.0]],["米",0.7585150003433228]]]]}
2024-05-22 15:01:03.661 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1099.4921875,"ocr_result":[null]}
2024-05-22 15:01:08.471 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1100.4375,"ocr_result":[null]}
2024-05-22 15:01:09.321 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1101.78125,"ocr_result":[[[[[1360.0,637.0],[1624.0,582.0],[1638.0,645.0],[1374.0,701.0]],["Gochiusa",0.9909888505935669]]]]}
2024-05-22 15:01:10.766 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1103.1875,"ocr_result":[null]}
2024-05-22 15:01:11.552 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1107.296875,"ocr_result":[null]}
2024-05-22 15:01:12.326 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1107.734375,"ocr_result":[null]}
2024-05-22 15:01:13.144 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1108.23046875,"ocr_result":[null]}
2024-05-22 15:01:14.103 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1110.3125,"ocr_result":[null]}
2024-05-22 15:01:14.874 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1109.23046875,"ocr_result":[null]}
2024-05-22 15:01:15.866 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1111.03125,"ocr_result":[null]}
2024-05-22 15:01:16.872 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1109.55078125,"ocr_result":[[[[[51.0,995.0],[327.0,995.0],[327.0,1021.0],[51.0,1021.0]],["Mega Dimension Neptune Vul",0.9434823989868164]],[[[51.0,1015.0],[329.0,1015.0],[329.0,1043.0],[51.0,1043.0]],["Rave:techt_JNew:world",0.8671271204948425]],[[[53.0,1039.0],[201.0,1039.0],[201.0,1059.0],[53.0,1059.0]],["ILLUSTRATION BY SWD3E2",0.9549381136894226]]]]}
2024-05-22 15:01:18.099 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1115.24609375,"ocr_result":[null]}
2024-05-22 15:01:19.106 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1116.88671875,"ocr_result":[[[[[1820.0,0.0],[1917.0,3.0],[1914.0,46.0],[1817.0,41.0]],["CRE",0.9959327578544617]],[[[1045.0,66.0],[1144.0,57.0],[1147.0,85.0],[1048.0,94.0]],["00000",0.7149039506912231]],[[[971.0,419.0],[1040.0,430.0],[1035.0,462.0],[966.0,451.0]],["1日限定",0.8982111811637878]],[[[992.0,451.0],[1068.0,467.0],[1060.0,504.0],[984.0,488.0]],["30食！！",0.8545621037483215]]]]}
2024-05-22 15:01:20.780 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1120.90625,"ocr_result":[[[[[236.0,68.0],[278.0,67.0],[282.0,210.0],[240.0,212.0]],["?白十字",0.8496513366699219]],[[[246.0,207.0],[274.0,207.0],[274.0,223.0],[246.0,223.0]],["儿C",0.66560959815979]],[[[1144.0,377.0],[1222.0,363.0],[1230.0,408.0],[1152.0,423.0]],["00277",0.6925936937332153]],[[[1058.0,489.0],[1086.0,489.0],[1086.0,608.0],[1058.0,608.0]],["西本寺",0.9935477375984192]],[[[1090.0,483.0],[1124.0,484.0],[1120.0,614.0],[1086.0,613.0]],["净土真宗",0.9520144462585449]],[[[1322.0,507.0],[1358.0,507.0],[1358.0,523.0],[1322.0,523.0]],["防叉站",0.6394058465957642]],[[[1568.0,517.0],[1602.0,518.0],[1598.0,638.0],[1564.0,637.0]],["竹谷光子",0.7018486261367798]],[[[1053.0,629.0],[1117.0,627.0],[1127.0,881.0],[1063.0,883.0]],["法净寺",0.991776168346405]],[[[1563.0,667.0],[1603.0,677.0],[1594.0,711.0],[1554.0,701.0]],["公明党",0.8132438063621521]],[[[354.0,750.0],[478.0,750.0],[478.0,772.0],[354.0,772.0]],["O70250",0.8349987864494324]],[[[1018.0,784.0],[1038.0,784.0],[1038.0,861.0],[1018.0,861.0]],["茶",0.5351760983467102]]]]}
2024-05-22 15:01:21.629 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1117.0625,"ocr_result":[null]}
2024-05-22 15:01:22.633 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1128.16015625,"ocr_result":[null]}
2024-05-22 15:01:23.533 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1126.109375,"ocr_result":[null]}
2024-05-22 15:01:24.288 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1126.3828125,"ocr_result":[null]}
2024-05-22 15:01:25.200 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1126.59765625,"ocr_result":[[[[[84.0,395.0],[204.0,395.0],[204.0,516.0],[84.0,516.0]],["米",0.501356303691864]]]]}
2024-05-22 15:01:26.144 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1120.87890625,"ocr_result":[[[[[21.0,188.0],[368.0,134.0],[385.0,245.0],[38.0,299.0]],["Merry",0.8602188229560852]],[[[191.0,247.0],[651.0,161.0],[669.0,257.0],[209.0,343.0]],["Clritma",0.8685956001281738]]]]}
2024-05-22 15:01:26.917 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1128.05078125,"ocr_result":[null]}
2024-05-22 15:01:27.860 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1130.296875,"ocr_result":[null]}
2024-05-22 15:01:28.634 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1129.046875,"ocr_result":[[[[[1423.0,291.0],[1481.0,289.0],[1493.0,570.0],[1435.0,572.0]],["日本顽張",0.9652426242828369]]]]}
2024-05-22 15:01:29.441 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1130.8828125,"ocr_result":[null]}
2024-05-22 15:01:30.231 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1131.0390625,"ocr_result":[null]}
2024-05-22 15:01:31.020 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1131.0390625,"ocr_result":[null]}
2024-05-22 15:01:31.847 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1131.0390625,"ocr_result":[[[[[7.0,1032.0],[282.0,1039.0],[281.0,1079.0],[6.0,1074.0]],["Jukina Ra Rutherford",0.7308133840560913]],[[[1796.0,1042.0],[1910.0,1042.0],[1910.0,1076.0],[1796.0,1076.0]],["Melancholy",0.8444303274154663]]]]}
2024-05-22 15:01:32.636 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1131.25,"ocr_result":[null]}
2024-05-22 15:01:33.628 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1132.6328125,"ocr_result":[null]}
2024-05-22 15:01:34.649 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1132.69921875,"ocr_result":[null]}
2024-05-22 15:01:37.556 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1131.3671875,"ocr_result":[[[[[1198.0,52.0],[1250.0,52.0],[1250.0,100.0],[1198.0,100.0]],["大",0.7152677178382874]]]]}
2024-05-22 15:01:38.407 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1135.87109375,"ocr_result":[[[[[21.0,188.0],[368.0,134.0],[385.0,245.0],[38.0,299.0]],["Merry",0.8602188229560852]],[[[191.0,247.0],[651.0,161.0],[669.0,257.0],[209.0,343.0]],["Clritma",0.8685956001281738]]]]}
2024-05-22 15:01:39.417 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1138.29296875,"ocr_result":[null]}
2024-05-22 15:01:40.231 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1136.96484375,"ocr_result":[null]}
2024-05-22 15:01:41.047 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1136.96484375,"ocr_result":[null]}
2024-05-22 15:01:41.927 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1138.015625,"ocr_result":[null]}
2024-05-22 15:01:42.917 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1136.96484375,"ocr_result":[null]}
2024-05-22 15:01:43.927 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1138.4375,"ocr_result":[null]}
2024-05-22 15:01:45.184 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1136.96484375,"ocr_result":[null]}
2024-05-22 15:01:46.401 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1136.96875,"ocr_result":[null]}
2024-05-22 15:01:47.312 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1150.47265625,"ocr_result":[null]}
2024-05-22 15:01:48.708 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1151.4609375,"ocr_result":[[[[[802.0,717.0],[991.0,712.0],[992.0,754.0],[803.0,759.0]],["USAN",0.9708397388458252]],[[[827.0,779.0],[975.0,772.0],[977.0,808.0],[829.0,814.0]],["IRCUSP",0.8948941230773926]]]]}
2024-05-22 15:01:49.698 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1152.4140625,"ocr_result":[[[[[58.0,465.0],[166.0,465.0],[166.0,492.0],[58.0,492.0]],["Castle",0.9936686158180237]],[[[101.0,492.0],[200.0,497.0],[199.0,527.0],[100.0,522.0]],["Bravo",0.9966651201248169]],[[[1390.0,599.0],[1471.0,604.0],[1468.0,642.0],[1387.0,637.0]],["黑锦",0.9507646560668945]],[[[1382.0,639.0],[1478.0,639.0],[1478.0,661.0],[1382.0,661.0]],["kuronisiki",0.9830004572868347]]]]}
2024-05-22 15:01:50.484 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1142.03515625,"ocr_result":[null]}
2024-05-22 15:01:51.434 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1143.87109375,"ocr_result":[null]}
2024-05-22 15:01:52.231 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1142.578125,"ocr_result":[null]}
2024-05-22 15:01:53.190 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1143.87109375,"ocr_result":[[[[[1692.0,51.0],[1927.0,40.0],[1942.0,341.0],[1707.0,352.0]],["十",0.773455023765564]],[[[1224.0,813.0],[1307.0,879.0],[1269.0,927.0],[1186.0,861.0]],["@Menu",0.8485442996025085]]]]}
2024-05-22 15:01:53.975 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1144.5703125,"ocr_result":[null]}
2024-05-22 15:01:54.793 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1144.5703125,"ocr_result":[null]}
2024-05-22 15:01:55.594 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1144.6796875,"ocr_result":[null]}
2024-05-22 15:01:56.399 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1144.7109375,"ocr_result":[null]}
2024-05-22 15:01:57.202 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1144.734375,"ocr_result":[null]}
2024-05-22 15:01:57.944 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1144.734375,"ocr_result":[null]}
2024-05-22 15:01:58.921 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1146.203125,"ocr_result":[[[[[98.0,1033.0],[254.0,1033.0],[254.0,1063.0],[98.0,1063.0]],["sler a rablit?",0.7364205121994019]],[[[68.0,1072.0],[134.0,1072.0],[134.0,1095.0],[68.0,1095.0]],["DHATA",0.7088372707366943]]]]}
2024-05-22 15:01:59.753 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1148.23828125,"ocr_result":[null]}
2024-05-22 15:02:00.748 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1159.15625,"ocr_result":[[[[[1402.0,468.0],[1575.0,515.0],[1559.0,571.0],[1387.0,524.0]],["mas",0.7786253094673157]]]]}
2024-05-22 15:02:01.596 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1167.0546875,"ocr_result":[null]}
2024-05-22 15:02:02.857 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1166.98046875,"ocr_result":[null]}
2024-05-22 15:02:03.722 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1165.8046875,"ocr_result":[null]}
2024-05-22 15:02:07.152 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1167.3671875,"ocr_result":[[[[[141.0,883.0],[198.0,883.0],[198.0,940.0],[141.0,940.0]],["★",0.765034019947052]]]]}
2024-05-22 15:02:08.367 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1165.71484375,"ocr_result":[null]}
2024-05-22 15:02:09.156 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1165.984375,"ocr_result":[null]}
2024-05-22 15:02:10.132 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1166.0703125,"ocr_result":[null]}
2024-05-22 15:02:11.500 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1167.63671875,"ocr_result":[null]}
2024-05-22 15:02:12.364 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1166.56640625,"ocr_result":[[[[[686.0,141.0],[696.0,141.0],[696.0,151.0],[686.0,151.0]],["R",0.5445988774299622]],[[[786.0,143.0],[800.0,143.0],[800.0,153.0],[786.0,153.0]],["N",0.6315249800682068]]]]}
2024-05-22 15:02:13.309 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1168.63671875,"ocr_result":[[[[[122.0,544.0],[352.0,544.0],[352.0,584.0],[122.0,584.0]],["milia Scarler",0.8846633434295654]],[[[70.0,577.0],[360.0,584.0],[360.0,616.0],[70.0,609.0]],["TouhouProjecthe Embodim",0.8881730437278748]],[[[394.0,581.0],[516.0,586.0],[516.0,606.0],[394.0,601.0]],["ofScarletDe",0.9711716175079346]]]]}
2024-05-22 15:02:14.205 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1181.84375,"ocr_result":[null]}
2024-05-22 15:02:15.008 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1180.80078125,"ocr_result":[null]}
2024-05-22 15:02:15.872 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1184.97265625,"ocr_result":[null]}
2024-05-22 15:02:16.645 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1183.72265625,"ocr_result":[null]}
2024-05-22 15:02:17.419 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1183.72265625,"ocr_result":[null]}
2024-05-22 15:02:18.451 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1185.11328125,"ocr_result":[null]}
2024-05-22 15:02:19.378 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1184.765625,"ocr_result":[null]}
2024-05-22 15:02:20.558 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1184.83984375,"ocr_result":[[[[[318.0,808.0],[346.0,808.0],[346.0,824.0],[318.0,824.0]],["940",0.5586285591125488]]]]}
2024-05-22 15:02:21.816 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1190.546875,"ocr_result":[null]}
2024-05-22 15:02:22.668 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1191.484375,"ocr_result":[null]}
2024-05-22 15:02:23.433 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1191.484375,"ocr_result":[null]}
2024-05-22 15:02:24.281 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1192.57421875,"ocr_result":[null]}
2024-05-22 15:02:25.238 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1191.484375,"ocr_result":[[[[[865.0,108.0],[950.0,103.0],[953.0,141.0],[868.0,146.0]],["Rah",0.9758593440055847]],[[[1063.0,102.0],[1193.0,130.0],[1183.0,179.0],[1053.0,152.0]],["Yukari",0.942385196685791]],[[[1642.0,100.0],[1785.0,110.0],[1782.0,160.0],[1639.0,150.0]],["Sakuya",0.8806416392326355]],[[[115.0,167.0],[236.0,158.0],[239.0,194.0],[118.0,203.0]],["MoMizi",0.9713937640190125]],[[[296.0,170.0],[373.0,175.0],[370.0,213.0],[293.0,208.0]],["AYa",0.8028512001037598]],[[[466.0,239.0],[583.0,247.0],[580.0,289.0],[463.0,281.0]],["Nitori",0.9491279125213623]],[[[669.0,234.0],[765.0,239.0],[763.0,275.0],[667.0,269.0]],["chen",0.9556978940963745]],[[[1564.0,296.0],[1596.0,296.0],[1596.0,322.0],[1564.0,322.0]],["SM",0.9817856550216675]]]]}
2024-05-22 15:02:26.044 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1192.38671875,"ocr_result":[null]}
2024-05-22 15:02:27.459 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1193.74609375,"ocr_result":[null]}
2024-05-22 15:02:28.351 | INFO     | __main__:<module>:12 - 200,{"memory_usage_mb":1192.38671875,"ocr_result":[null]}

0 replies

Ethenlalala · 2024-05-22T07:06:15Z

Ethenlalala
May 22, 2024

@tisoz 什么样的服务器环境呀，另外可以提供一个最小可复现demo吗

我去改写下demo，晚点发过来

我在windows上面内存就会一直累加，使用多进程可以解决。

使用memory_profile持续监控，内存变化符合预期。

0 replies

GreatV · 2024-05-22T07:10:32Z

GreatV
May 22, 2024
Maintainer

@tisoz，感谢提供代码和描述。

0 replies

tisoz · 2024-05-22T07:20:14Z

tisoz
May 22, 2024

@tisoz 什么样的服务器环境呀，另外可以提供一个最小可复现demo吗

我去改写下demo，晚点发过来

我在windows上面内存就会一直累加，使用多进程可以解决。

使用memory_profile持续监控，内存变化符合预期。

这种实际情况下不太适合内嵌和整合代码，单客户端的时候比较麻烦

0 replies

Ethenlalala · 2024-05-22T07:43:44Z

Ethenlalala
May 22, 2024

@tisoz 什么样的服务器环境呀，另外可以提供一个最小可复现demo吗

我去改写下demo，晚点发过来

我在windows上面内存就会一直累加，使用多进程可以解决。
使用memory_profile持续监控，内存变化符合预期。

这种实际情况下不太适合内嵌和整合代码，单客户端的时候比较麻烦

是的，因为要重复创建进程，处理速度也会受到影响。只能临时用一下。

0 replies

GreatV · 2024-05-22T08:18:49Z

GreatV
May 22, 2024
Maintainer

用线程池会不会好一点

0 replies

tisoz · 2024-05-22T08:23:12Z

tisoz
May 22, 2024

用线程池会不会好一点

2024-05-22 16:22:20.476 | INFO | main::12 - 200,{"memory_usage_mb":5061.09765625,"ocr_result":[null]

截至目前已经增加到了5G，我推测可能是因为导致的问题，但也不好说，因为线程池没有webapi的功能

0 replies

GreatV · 2024-05-22T08:36:34Z

GreatV
May 22, 2024
Maintainer

设置 FLAGS_allocator_strategy=naive_best_fit 会不会有缓解

PaddleOCR/tools/infer/predict_system.py

Line 22 in e73eb76

os.environ["FLAGS_allocator_strategy"] = "auto_growth"

https://www.paddlepaddle.org.cn/documentation/docs/zh/guides/flags/memory_cn.html

0 replies

tisoz · 2024-05-22T09:50:29Z

tisoz
May 22, 2024

设置 FLAGS_allocator_strategy=naive_best_fit 会不会有缓解

PaddleOCR/tools/infer/predict_system.py

Line 22 in e73eb76

os.environ["FLAGS_allocator_strategy"] = "auto_growth"

https://www.paddlepaddle.org.cn/documentation/docs/zh/guides/flags/memory_cn.html

没用

0 replies

ghost · 2024-05-22T10:19:37Z

ghost
May 22, 2024

可以提供一个最小可复现demo吗

@GreatV

这段最小可复现demo代码的功能是持续监测 /content/img 目录中的图片，并将结果保存在 /content/log 目录中:

import os
import numpy as np
from paddleocr import PaddleOCR, draw_ocr
from PIL import Image
import time

# 设置输入和输出目录
input_dir = '/content/img'
output_dir = '/content/log'

# 初始化 OCR
ocr = PaddleOCR(use_angle_cls=True, lang='en')  # 运行一次以下载并加载模型到内存中

# 进入无限循环以持续进行检测
while True:
    # 遍历输入目录中的图像文件
    for filename in os.listdir(input_dir):
        if filename.endswith('.png') or filename.endswith('.jpg') or filename.endswith('.jpeg'):
            # 读取图像
            img_path = os.path.join(input_dir, filename)
            img = Image.open(img_path).convert('RGB')
            img_np = np.array(img)

            # 进行 OCR
            result = ocr.ocr(img_np, cls=True)

            # 提取 OCR 结果
            res = result[0]
            boxes = [line[0] for line in res]
            txts = [line[1][0] for line in res]
            scores = [line[1][1] for line in res]

            # 在图像上绘制 OCR 结果
            im_show = draw_ocr(img_np, boxes, txts, scores, font_path='/content/Humor-Sans.ttf')
            im_show = Image.fromarray(im_show)

            # 将带有 OCR 结果的图像保存到输出目录中
            output_path = os.path.join(output_dir, filename)
            im_show.save(output_path)

            print(f"检测到 {filename} 中的文本，并将结果保存在 {output_path}")
    
    # 在检查新图像之前暂停一段时间
    time.sleep(1)

0 replies

ghost · 2024-05-22T10:43:03Z

ghost
May 22, 2024

运行 36 分钟，从 2.8GB 占用到 4.2GB，并且没有任何释放内存本身的迹象

0 replies

jw-redpanda · 2024-05-23T07:05:52Z

jw-redpanda
May 23, 2024

我又跑了一会，没有一直增长。

一个小时：run.log

两个小时：run.log

三个小时：run.log

@GreatV 套用了建议的env，内存没有释放。可以参考一下你的一些环境参数吗？

> systeminfo | findstr /B /C:"OS Name" /C:"OS Version" & python -V & pip freeze | findstr paddle & set | findstr FLAGS_

这是我这边的信息

OS Name:                   Microsoft Windows 11 Pro
OS Version:                10.0.22631 N/A Build 22631
Python 3.11.8
paddleocr==2.7.3
paddlepaddle==2.6.1
FLAGS_allocator_strategy=naive_best_fit
FLAGS_eager_delete_tensor_gb=0.0
FLAGS_memory_fraction_of_eager_deletion=1.0

0 replies

GreatV · 2024-05-23T07:19:38Z

GreatV
May 23, 2024
Maintainer

****************************************
Paddle version: 2.6.1
Paddle With CUDA: False

OS: macOS 14.5
GCC version: N/A
Clang version: 18.1.5
CMake version: version 3.29.3
Libc version: N/A
Python version: 3.10.14

CUDA version: N/A
cuDNN version: N/A
Nvidia driver version: N/A
Nvidia driver List: N/A
PaddleOCR version: 2.8.0 (in main branch)
****************************************

0 replies

GreatV · 2024-05-23T07:22:37Z

GreatV
May 23, 2024
Maintainer

@jw-redpanda 修改完predict_sytem.py重新install了嘛

0 replies

jw-redpanda · 2024-05-23T07:44:56Z

jw-redpanda
May 23, 2024

@jw-redpanda 修改完predict_sytem.py重新install了嘛

@GreatV 我是pip安装的，譬如 pip install paddleocr==2.7.3。
请教一下，怎样安装到最新的paddleocr 2.8.0? 然后重新测试（因为现在最新pypi的是2.7.3）

0 replies

GreatV · 2024-05-23T07:48:35Z

GreatV
May 23, 2024
Maintainer

@jw-redpanda 把main分支的最新代码拉下来git clone https://github.com/PaddlePaddle/PaddleOCR.git，用python setup.py install 或者 pip install -e . 安装就好了。

0 replies

ghost · 2024-05-23T09:21:56Z

ghost
May 23, 2024

@GreatV 是的，使用 pip install paddleocr==2.8.0 后，内存的增加速度变慢了。非常感谢！

0 replies

jw-redpanda · 2024-05-23T13:16:55Z

jw-redpanda
May 23, 2024

@jw-redpanda 把main分支的最新代码拉下来git clone https://github.com/PaddlePaddle/PaddleOCR.git，用python setup.py install 或者 pip install -e . 安装就好了。

@GreatV 谢谢！我这边重新测试 paddleocr==2.8.0。大约测试了3个小时，看到内存会先上升然后下降，暂时看不到再在上升到之前的高位。

不过，这里出现了另外一个问题。测试开头的时段，OCR效能大约3秒（每张图片），到了3个小时OCR增加到9秒，之后OCR的效能没有回到之前效能。

一些信息给你参考：
测试时间：大约3小时
测试图片：1445张
OCR效能（开头）：大约3秒
OCR效能（后段）：大约9秒

0 replies

MingsYang · 2024-05-24T07:51:17Z

MingsYang
May 24, 2024

另外换一个推理backend，也可以避免这个问题，如onnxruntime、openvino

v4 导出onnx模型，然后用paddleOCR加载，use_onnx=True, use_gpu=True, 没有使用gpu推理，请问可能有什么原因吗

1 reply

SWHL Jun 6, 2024
Maintainer

这个建议重新建一个Discussion来问哈

Shubham654 · 2024-05-26T16:46:44Z

Shubham654
May 26, 2024

#11639 (comment)

Facing the same for a long time, tried all the methods but didn't work.

@jw-redpanda @TingquanGao @MingsYang

0 replies

Chanli520 · 2024-05-31T06:50:23Z

Chanli520
May 31, 2024

把main分支的最新代码拉下来git clone https://github.com/PaddlePaddle/PaddleOCR.git，用python setup.py install 或者 pip install -e . 安装就好了。亲测有效！

0 replies

starplatinum3 · 2025-03-12T09:18:59Z

starplatinum3
Mar 12, 2025

还是一点点的在加
memory_usage_mb 447.125
memory_usage_mb 2514.5546875
memory_usage_mb 2529.3671875
memory_usage_mb 2531.08984375
memory_usage_mb 2532.76171875
memory_usage_mb 2534.55078125
memory_usage_mb 2537.046875
memory_usage_mb 2538.7734375
memory_usage_mb 2541.55078125
memory_usage_mb 2543.26953125
memory_usage_mb 2545.0
memory_usage_mb 2546.71875
memory_usage_mb 2550.0390625
memory_usage_mb 2551.9140625
memory_usage_mb 2553.62890625
memory_usage_mb 2555.34375
memory_usage_mb 2558.0390625
memory_usage_mb 2559.7578125
memory_usage_mb 2561.48828125
memory_usage_mb 2564.1875
memory_usage_mb 2567.87109375
memory_usage_mb 2569.6171875
memory_usage_mb 2571.3515625
memory_usage_mb 2573.05078125
memory_usage_mb 2574.765625
memory_usage_mb 2577.453125
memory_usage_mb 2579.17578125
memory_usage_mb 2581.37109375
memory_usage_mb 2583.57421875
memory_usage_mb 2585.26953125
memory_usage_mb 2586.98828125
memory_usage_mb 2588.7265625
memory_usage_mb 2591.41796875
memory_usage_mb 2593.91796875
memory_usage_mb 2595.6328125
memory_usage_mb 2597.359375
memory_usage_mb 2599.07421875
memory_usage_mb 2600.7890625
memory_usage_mb 2602.50390625
memory_usage_mb 2604.22265625
memory_usage_mb 2605.9375
memory_usage_mb 2607.72265625
memory_usage_mb 2609.44140625
memory_usage_mb 2612.7734375
memory_usage_mb 2614.65625
memory_usage_mb 2616.37109375
memory_usage_mb 2618.0859375
memory_usage_mb 2619.80078125
memory_usage_mb 2622.50390625
memory_usage_mb 2624.98046875
memory_usage_mb 2626.6953125
memory_usage_mb 2629.34375
memory_usage_mb 2636.4375
memory_usage_mb 2682.65625
memory_usage_mb 2711.8359375
memory_usage_mb 2818.25390625
memory_usage_mb 2895.65234375
memory_usage_mb 2965.6015625
memory_usage_mb 2989.39453125
请求失败，状态码: 500
memory_usage_mb 3073.359375
请求失败，状态码: 500
请求失败，状态码: 500
memory_usage_mb 3209.22265625
请求失败，状态码: 500
memory_usage_mb 3279.62890625
memory_usage_mb 3344.59375
memory_usage_mb 3361.87890625
memory_usage_mb 3465.125
memory_usage_mb 3482.64453125
memory_usage_mb 3516.8828125
请求失败，状态码: 500
memory_usage_mb 3565.95703125
请求失败，状态码: 500
memory_usage_mb 3641.0703125
请求失败，状态码: 500
memory_usage_mb 3735.953125
memory_usage_mb 3763.33203125
memory_usage_mb 3791.05078125
memory_usage_mb 3807.73828125
memory_usage_mb 3848.2265625
memory_usage_mb 3870.05859375
memory_usage_mb 3892.59375
memory_usage_mb 3972.50390625
memory_usage_mb 3954.9921875
memory_usage_mb 4028.25390625

def req_ocr(cnt):

cnt = int(cnt)
image_path = rf"D:\file\files\page_00{cnt:02d}.pdf"

url = "http://localhost:8000/api/v1/gz-ocr/ocr"
with open(image_path, "rb") as image_file:
    files = {"file": image_file}
    response = requests.post(url, files=files)

# 处理响应
if response.status_code == 200:
    result = response.json()

    data=result["data"]
   
    memory_usage_mb=data.get("memory_usage_mb")
    print("memory_usage_mb",memory_usage_mb)

@router.post("/ocr")
async def ocr_image(file: UploadFile = File(...)):

file_path_or_img=None

contents = await file.read()
print("file.filename",file.filename)

# 如果文件名字后缀是图片的
if  file.filename.endswith((".jpg", ".jpeg", ".png")):

    
    nparr = np.frombuffer(contents, np.uint8)
    img = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
    file_path_or_img=img
else:
   
    file_path_or_img=file_write(contents,file)


now_time_str=time_util.get_now_time_str()

process = psutil.Process()
memory_info = process.memory_info()
memory_usage_mb = memory_info.rss / (1024 ** 2)
print("memory_usage_mb",memory_usage_mb)

用线程池=True

if 用线程池:
    loop = asyncio.get_running_loop()
    result = await loop.run_in_executor(executor, ocr.ocr, file_path_or_img)
else:
    result = ocr.ocr(file_path_or_img, cls=True)

res={
    "code":200,
    "data":{
        "ocr_result":result,
        "用线程池":用线程池
    },
    "msg":"success"
}


return res

直接改.venv里面的代码和改源码install应该道理一样吧
D:\proj\ocr_paddle.venv\Lib\site-packages\paddleocr\tools\infer\predict_system.py
import subprocess

dir = os.path.dirname(os.path.abspath(file))
sys.path.append(dir)
sys.path.insert(0, os.path.abspath(os.path.join(dir, "../..")))

os.environ["FLAGS_allocator_strategy"] = "auto_growth"

os.environ["FLAGS_allocator_strategy"] = "naive_best_fit"
os.environ["FLAGS_eager_delete_tensor_gb"] = "0.0"
os.environ["FLAGS_memory_fraction_of_eager_deletion"] = "1.0"

import cv2
import copy
import numpy as np
[[package]]
name = "paddleocr"
version = "2.8.0"
source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple" }

[[package]]
name = "paddlepaddle"
version = "2.6.2"
source = { registry = "https://mirrors.tuna.tsinghua.edu.cn/pypi/web/simple" }

2 replies

starplatinum3 Mar 12, 2025

好像这个可以哦
uv add paddlepaddle==3.0.0rc1

memory_usage_mb 482.4296875 cnt 83
memory_usage_mb 3570.45703125 cnt 82
memory_usage_mb 3727.47265625 cnt 81
memory_usage_mb 3624.7109375 cnt 80
memory_usage_mb 3738.74609375 cnt 79
memory_usage_mb 3707.7109375 cnt 78
memory_usage_mb 3945.78125 cnt 77
memory_usage_mb 3832.39453125 cnt 76
memory_usage_mb 3875.9921875 cnt 75
memory_usage_mb 3690.359375 cnt 74

starplatinum3 Mar 12, 2025

paddlepaddle==3.0.0rc1 改了之后，好像都不用改paddleocr的东西

Times125 · 2025-03-12T09:19:32Z

Times125
Mar 12, 2025

您好，我已经收到您的来信，会尽快处理。

0 replies

burth-1 · 2025-04-02T12:08:23Z

burth-1
Apr 2, 2025

请问现在这个问题解决了吗

1 reply

tisoz Jun 4, 2025

解决了

Times125 · 2025-04-02T12:08:53Z

Times125
Apr 2, 2025

您好，我已经收到您的来信，会尽快处理。

0 replies

报告在 CPU 机器上使用 PaddleOCR CPU包, 2小时后遇到内存泄漏问题 #12750

Uh oh!

Replies: 35 comments · 4 replies

Uh oh!

GreatV May 21, 2024 Maintainer

Uh oh!

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GreatV May 22, 2024 Maintainer

Uh oh!

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GreatV May 22, 2024 Maintainer

Uh oh!

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GreatV May 22, 2024 Maintainer

Uh oh!

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GreatV May 22, 2024 Maintainer

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Uh oh!

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GreatV May 23, 2024 Maintainer

Uh oh!

GreatV May 23, 2024 Maintainer

Uh oh!

Uh oh!

Uh oh!

GreatV May 23, 2024 Maintainer

Uh oh!

Uh oh!

Uh oh!

Uh oh!

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Uh oh!

SWHL Jun 6, 2024 Maintainer

Uh oh!

Uh oh!

Uh oh!

os.environ["FLAGS_allocator_strategy"] = "auto_growth"

Uh oh!

Uh oh!

Uh oh!

Replies: 35 comments 4 replies

GreatV
May 21, 2024
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GreatV
May 22, 2024
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GreatV
May 22, 2024
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GreatV
May 22, 2024
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GreatV
May 22, 2024
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GreatV
May 23, 2024
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GreatV
May 23, 2024
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GreatV
May 23, 2024
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SWHL Jun 6, 2024
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